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DBMS > eXtremeDB vs. InfluxDB vs. Oracle Berkeley DB

System Properties Comparison eXtremeDB vs. InfluxDB vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringDBMS for storing time series, events and metricsWidely used in-process key-value store
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#214  Overall
#103  Relational DBMS
#12  Time Series DBMS
Score18.65
Rank#33  Overall
#1  Time Series DBMS
Score2.73
Rank#88  Overall
#15  Key-value stores
#3  Native XML DBMS
Websitewww.mcobject.com/­extremedbfamilywww.influxdata.com/­time-series-platform/­influxdbwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.html
Technical documentationwww.mcobject.com/­docs/­eXtremeDB.htmdocs.influxdata.com/­influxdbdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperMcObjectOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release200120131994
Current release8.0, May 20181.7.6, April 201918.1 (Core), June 2018
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++GoC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X infothrough Homebrew
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsno
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no infosupport of XML interfaces availablenoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLSQL-like query languageyes infoSQL interfaced based on SQLite is available
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
proprietary protocol
HTTP API
JSON over UDP
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
Perl
Python
Tcl
Server-side scripts infoStored proceduresyesnono
Triggersyes infoby defining eventsnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication infoby means of eXtremeDB Cluster option
Master-slave replication infoby means of eXtremeDB High Availability option
selectable replication factor infoin enterprise version onlyMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyes
User concepts infoAccess controlsimple rights management via user accountsno
More information provided by the system vendor
eXtremeDBInfluxDBOracle Berkeley DB
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
InfluxData includes the open source time-series database InfluxDB . It supports high...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Time to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
IoT & Sensor Monitoring Instrumentation of every available surface in the material...
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Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
InfluxData , the creator of InfluxDB, delivers a modern Open Source Platform built...
» more
Market metricsWith hundreds of customers and over 28 million devices/applications using the product...
» more
Fastest growing database to garnish 14,018 github stars Over 148,000 servers deployed...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
Open source core with closed source clustering available either on-premise or on...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
eXtremeDBInfluxDBOracle Berkeley DB
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Recent citations in the news

Unique Active Replication Fabric feature announced by McObject for its eXtremeDB IoT SDK bundle
13 May 2019, GlobeNewswire

McObject wins IoT Vendor of the Year
6 December 2018, GlobeNewswire

New Update Speeds eXtremeDB Financial Edition for HPC
11 May 2018, insideHPC

McObject's new eXtremeDB Financial Edition for HPC offers excellent performance and a host of new features
9 May 2018, GlobeNewswire

McObject's new eXtremeDB running on E8 Storage sets multiple records in STAC benchmark tests
22 May 2018, GlobeNewswire

provided by Google News

InfluxDB Cloud 2.0 expands open source time series database
17 September 2019, TechTarget

InfluxData Advances Analytic Capabilities for InfluxDB Cloud
12 September 2019, Database Trends and Applications

InfluxData launches new serverless time series cloud database platform, InfluxDB Cloud 2.0
12 September 2019, Packt Hub

InfluxData launches InfluxDB Cloud 2.0 – the first serverless time series platform-as-a-service
10 September 2019, DevOps.com

InfluxData unveils InfluxDB Cloud 2.0, a serverless time series platform
12 September 2019, Help Net Security

provided by Google News

Oracle switches Berkeley DB license
5 July 2013, InfoWorld

Getting Started with Oracle Berkeley DB
5 July 2015, DZone News

Database Trends Report: SQL Beats NoSQL, MySQL Most Popular
5 March 2019, ADT Magazine

Under the Hood: Oracle Berkeley DB XML
7 May 2008, XML.com

Oracle's First Dozen Cloud Blockchain Applications Are Now Live
12 February 2019, CoinDesk

provided by Google News

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